000			02217nam a22003617a 4500
003			OSt
005			20250708142508.0
008			250708b |||||||| |||| 00| 0 eng d
020			_a9783540789840 _q(hardcover)
040			_beng _cDLC _dDLC _erda _aSai University Library
082			_223 _a658.5 _bXHA
245	1	0	_aMetaheuristics for Scheduling in Industrial and Manufacturing Applications / _bFatos Xhafa, Ajith Abraham editors
250			_a1st ed. 2008
260			_aBerlin, _bSpringer, _c2008
264		1	_aBerlin, _bSpringer, _c[2008]
264		4	_c©2008
300			_axxiv. 346 pages : _billustrations ; _c24 cm
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
490	1		_aStudies in Computational Intelligence ; _vVolume 128 _x1860-949X ;
500			_aGifted by Professor Ajith Abraham
504			_aIncludes bibliographical references and index
520			_aDuring the past decades scheduling has been among the most studied optimization problems and it is still an active area of research! Scheduling appears in many areas of science, engineering and industry and takes different forms depending on the restrictions and optimization criteria of the operating environments. This book deals with the application of various novel metaheuristics in scheduling. Addressing the various issues of scheduling in industrial and manufacturing applications is the novelty of this edited volume. Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and scheduling will find the comprehensive coverage of this book invaluable
650		0	_aArtificial intelligence _vEngineering
650		0	_aEngineering
650		0	_aEngineering mathematics
650		0	_aInformation systems
700	1		_aXhafa, Fatos _eeditor
700	1		_aAbraham, Ajith _eeditor
830			_aStudies in computational intelligence ; _vVolume 128
942			_2ddc _cBK
999			_c6843 _d6843